Method and apparatus for detecting label data leakage channel
Abstract:
The present disclosure provides label data leakage channel detection methods and apparatuses. According to one exemplary label data leakage channel detection method, detection labels are generated based on normal labels of a user. The detection labels can be associated with different data usage channels, so as to indirectly detect usage of the detection labels. Possible data leakage channels can be effectively detected based on massive data indexing and searching. One exemplary apparatus of the present disclosure includes a detection label adding module, a channel association module, an interception module, an intercepted information analysis module, a channel searching module, and an output module. The detection methods and apparatuses provided by the present disclosure have the advantages of high detection efficiency and the capability of processing massive and dynamic user label data.
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